Salmerón-Gómez, RománGarcía-García, Catalina BeatrizRodríguez Sánchez, Ainara2025-04-232025-04-232025-04-16Salmerón-Gómez, R., García-García, C.B. & Rodríguez-Sánchez, A. Enlarging of the Sample to Address Multicollinearity. Comput Econ (2025). https://doi.org/10.1007/s10614-025-10920-50927-7099 | eISSN 1572-9974https://doi.org/10.1007/s10614-025-10920-5https://hdl.handle.net/20.500.14468/26488The registered version of this article, first published in “Computational Economics, 2025", is available online at the publisher's website: Springer, https://doi.org/10.1007/s10614-025-10920-5 La versión registrada de este artículo, publicado por primera vez en “Computational Economics, 2025", está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s10614-025-10920-5This paper analyzes the impact of sample enlargement on the mitigation of collinearity, concluding that it may mitigate the consequences of collinearity related to statistical analysis but not necessarily the numerical instability. This issue is important in teaching social sciences as it relates to one widely accepted solution for addressing multicollinearity. For a better understanding and illustration of the contribution made by this paper, two empirical examples and two simulations are presented and not highly technical developments are used.eninfo:eu-repo/semantics/openAccess53 Ciencias Económicasartículoenlarging the samplemulticollinearitystatistical analysisnumerical instability